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Prior research has produced conflicting results on the relationship between firm-level patenting activity and financial performance. To identify a factor that impacts the results, this study tests whether the level of customer-base concentration (defined as focusing on a small number of major customer sales transactions) changes the relationship between firm-level patenting activity and financial performance (return on assets: ROA).

Using a longitudinal secondary dataset from Japanese manufacturers from 1991 to 2016, this study investigates the interaction effect between firm-level patenting activity and customer-base concentration. With additional analysis using multiple profitability measures, this study provides robust evidence that customer-base concentration is an important factor in changing the relationship between firm-level patenting activity and financial performance.

The analysis results show that there is a positive relationship between firm-level patenting activity and ROA. In addition, this relationship is positively moderated by the customer-base concentration. This means that suppliers can improve the performance of the patenting activity by concentrating on their customer base.

By identifying a moderating factor between patenting activity and financial performance, this study advances the interpretation of conflicting results in patent research. Moreover, this study reveals a situation where customer-base concentration, which has a direct negative impact on financial performance, leads to better financial performance. This also indicates that firm-level patenting activities may compensate for the negative aspects of customer-base concentration.

This paper aims to examine how a firm’s customer concentration, which is the amount of sales between a supplier firm and the major customers, affects corporate bond contracts. This study also investigates how the types of customer concentration have a significant impact on bond contracts.

The research uses the Compustat’s segment customer database and the Mergent fixed income securities database, which provides details about publicly offered US bond issues and issuers. The sample also includes the US Congressional committees’ data from the 96th to 115th congresses. To control any endogenous concerns, the author uses changes in the seniority of US senators on powerful committees and the American Recovery and Reinvestment Act of 2009 (ARRA) as exogenous shocks. For a robustness test, the author also uses the propensity score-matched pairs.

While higher customer concentration, on average, leads to higher yield spreads and strict covenants, firms that have the US Government as a major customer pay lower yield spreads and have higher issue ratings. However, as a firm’s sales depend too heavily on the US Government customer channel, the bond issuance is likely to have lower issue ratings. The main findings also show that firms with government concentrations take advantage of political links, leading to lower yield spreads after two exogenous events.

The findings in this paper show the importance of a firm’s customer types in bond markets by emphasizing the positive impact of the US Government as the sales channel. Exogenous event studies based on the propensity-matched sample alleviate the endogenous concerns.

The purpose of this paper is to examine the effect of a firm’s customer base concentration on its loan contract terms and how this effect varies with the strength of its customer relationship.

This study is an archival research based on a sample of US public firms that have loan contract data between 1990 and 2008. Major customer sales data are used to construct customer concentration and customer relationship measures. A debt contract model is employed to relate loan spread and other contract terms to customer concentration and relationship.

This study finds that firms with more concentrated customer bases have higher loan spread and shorter loan maturity and are more likely to issue secured loans. These negative effects disappear when the supplier firm maintains strong relationship with its customers.

Additional forward-looking measure of customer relationship could benefit future research.

A firm’s customer base characteristics can have significant impacts on the terms of its loan contracts. Findings from this study support the notion that customer relationship is an important intangible asset that is informative to stakeholders of the firm.

This study proposes a new measure of customer relationship based on the past repeated relationships between a firm and its major customers. It shows that customer characteristics may affect firms’ contracts with creditors: customer base concentration increases credit risk whereas strong customer relationship improves credit quality.

The purpose of this paper is to examine how the concentration of a specific customer type – governmental customer, affects the pricing of audit services in the USA.

This paper applies a standard audit pricing model by regressing audit fees on governmental customer concentration and other common determinants of audit fees. This paper also adopts an instrumental variable approach and performs propensity-score matched sample analyzes to mitigate the potential endogeneity problem.

Using data from major customer disclosures of US publicly listed firms from 2000 to 2014, this paper finds that governmental customer concentration is positively associated with audit fees, suggesting that a higher level of governmental customer concentration increases a firm’s audit risks and audit effort. In addition, this paper performs cross-sectional analyzes and show that the association between governmental customer concentration and audit fees is more pronounced for firms with weak internal governance, weak external monitoring and high financial risks.

This paper furthers the understanding of the interactive relationships in supply chain systems and adds new evidence to the literature on customer concentration. Prior studies on customer concentration typically treat all customer types in a uniform manner. To the knowledge, this is the first study that separates governmental customers from other types of customers in an audit pricing setting. The findings highlight the importance of examining governmental customer concentration when assessing a firm’s audit risks and audit fees.

The purpose of this paper is to examine whether competitor concentration relates to better customer acceptance of the firm’s offerings and better networking of the firm with competitors and government officials.

The research is conducted in the context of the transition economy of Vietnam, using a combination of methods. Qualitative interviews are followed by a survey of 199 small firms in Hanoi, Vietnam. Since competitor concentration is count data, Poisson regression is used to test the relationship between networking, customer acceptance, and competitor concentration.

The results show that locating in a competitor concentration area improves customer acceptance of the firm’s offerings and increases networking with competitors, while decreasing networking with government officials. Competitor concentration does not help improve firm performance.

A sample of 199 businesses in the food, furniture, and jewelry sectors in Hanoi may not be representative of all private businesses in Vietnam. The use of cross-sectional data could not establish causational relationships among variables.

Small firms in transition economies should be aware of the trade-offs between initial customer acceptance and negative consequences of being in a competitor concentrated area. Thus, once the firm’s offerings are generally accepted by customers, the firm may consider moving out of competitor concentration areas to expand and differentiate.

This paper points out that in the absence of effective market institutions, businesses want to be located near a concentration of similar firms as a means of gaining initial customer acceptance. This initial acceptance does not necessarily help firms improve business performance beyond the firm’s survival.

Emerging markets are characterized by weak institutions and strong relationships, which give rise to different market characteristics in supply chain relationships. This study investigates the impact of customer concentration on suppliers' real earnings management.

Based on China's relationship-based transaction, this study selects 2007–2019 Shenzhen and Shanghai Stock Exchange A-share manufacturing listed companies as the research samples. The empirical analysis is derived from the ordinary least square regression model with industry and year fixed effects, and cross-sectional analysis is used for further analysis.

It is found that the higher the degree of customer concentration, the more likely a company is to engage in real earnings management mainly through discretionary expenses instead of accrual-based earnings management. Further research shows that when suppliers provide customers with higher commercial credit and make more relationship-specific investments, and when major customers are also major suppliers, the effect of customer concentration on real earnings management is more significant. It can be seen from the results that high customer concentration is beneficial for suppliers to cooperate with major customers in emerging markets.

This research expands the relationship between customer relationship-based transaction and earnings management from the perspective of collaboration. These conclusions are of great significance for market regulators to reform information disclosure related to customers and for participants to pay attention to the composition of major customers of the company.

This study examines the impact of the US government customer concentration and product innovation in supplier firms. The US government customer concentration is defined as the proportion of sales made by a supplier firm to the US government as a major customer. To measure product innovation, the author uses two key metrics: the number of patents and the novelty of the patents. The results indicate that a supplier firm’s relationship with the US government, as measured by the tenure of the relationship, has a significant impact on product innovation. Furthermore, the author shows that changes in the composition of the US government, Senate can also affect the level of innovation in supplier firms.

This study employs the Compustat’s Segment Customer database and the National Bureau of Economic Research (NBER) Patent Citation database to gather information regarding patents granted by the United States Patent and Trademark Office (USPTO). The author also incorporates data from US Congressional committees from the 96th to 115th Congresses to assess the effect of changes in seniority of US senators on influential committees on the firm’s innovation. For a robustness test, the author utilizes a propensity score matched analysis.

The author demonstrates that a firm’s dependence on the US government as a customer channel for an extended period negatively impacts the firm’s innovation efficiency, as measured by the number of patents, citations and novelty of the patents. In addition, the author provides evidence that changes in the seniority of US senators on influential committees have a significant impact on firms located in the same state as the new senior senators. These firms decrease innovative efforts due to the political connections, resulting in lower levels of innovation. These findings are robust after controlling the endogeneity issues. In conclusion, this study contributes to the existing literature by offering insight into the relationship between customer concentration and firm innovation. The findings highlight the importance of considering the relationship between firms and their customer base in determining innovation outcomes.

This study demonstrates that a heavy reliance on the US government as a customer channel has a detrimental impact on a firm’s innovation efficiency. Furthermore, the author analyzes the exogenous shock of changes in the seniority of US senators on the relationship between customer dependence and innovation. By utilizing a propensity matched sample, the author addresses endogeneity concerns and provides robust evidence for empirical findings. In conclusion, this study sheds light on the complex relationship between customer dependence and firm innovation, particularly in the context of the US government as a sales channel.

This research investigates whether focal firms employ strategic supply chain information disclosure, focusing on the concealment of supplier and customer identities, as part of their supply chain environmental risk management strategies (supplier sustainability risk and customer loss risk, respectively).

Using a panel dataset of Chinese listed firms from 2009 to 2019 and utilizing the suppliers’ environmental punishment of peer firms (peer events) as an exogenous shock and employing ordinary least squares (OLS) estimation, this study conducts a regression analysis to test how focal firms disclose the identities of their suppliers and customers.

Our results indicate that focal firms prefer to hide the identities of their suppliers and customers following the environmental punishment of peer firms’ suppliers. In addition, supplier concentration weakens the effect of withholding supplier identities, whereas customer concentration strengthens the effect of hiding customer identities. Mechanism analysis shows that firms hide supplier identities to avoid their reputation being affected and hide customer identities to prevent the deterioration of customers’ reputations and thus impact their market share.

Our study reveals that reputation spillover is another crucial factor in supply chain transparency. It is also pioneering in applying the anonymity theory to explain focal firms’ information disclosure strategy in supply chains.

The aim of the paper is to study the degree of independence of customers' portfolio concentration measure from the pricing policy adopted by rating agencies.

The paper tests different measures of customers value (revenues or profits and customer lifetime value) and different concentration measure (top customer or Herfindahl‐Hirschman index) on the customers' portfolio of rating agencies in the time period 1999‐2008. Simulating different pricing models, the paper tests the sensitivity of these measures to discounted fees applied to best customers and identifies measures that are more and less sensitive to the discount applied.

Concentration measures that consider all the customers' portfolios and look at both cost and revenues related to the service on a multi‐period time horizon (CLV) are less sensitive to the discount policy respect to the others.

Results point out some opportunities related to apply more complete approaches defined by marketing science on the financial service industry in order to construct better measures for the economic independence. The paper works only with publicly available data and more details about the fee applied to each customer could increase the significance of the results achieved.

The paper contributes to the current debate on the economic independence of rating agencies stressing the opportunity of rethinking the measures on economic independence that are currently considered by supervisory authorities.

The paper is the first empirical application of standard marketing concepts of customers' concentration measure to the rating industry.

The paper studies the pricing policies adopted by ratings agencies.

Blockchain is a distributed ledger technology that uses cryptography to ensure transmission and access security, which provides solutions to numerous challenges to complex supply networks. The purpose of this paper is to empirically test the impact of blockchain implementation on shareholder value varying from internal and external complexity from the complex adaptive systems (CASs) perspective. It further explores how business diversification, supply chain (SC) concentration and environmental complexity affect the relationship between blockchain implementation and shareholder value.

Based on 138 blockchain implementation announcements of listed companies on the Chinese A-share stock market, the authors use event study methodology to evaluate the impact of blockchain implementation on shareholder value.

The results show that blockchain implementation has a positive impact on shareholder value, and this impact will be moderated by business diversification, SC concentration and environmental complexity. In addition, environmental complexity exerts a moderating effect on SC concentration. In the post hoc analysis, the authors further explore the impact of blockchain implementation on long-term operational performance.

This is the first research empirically examining the effect of blockchain implementation on shareholder value varying from internal and external complexity from the CASs perspective. This paper provides evidence of the different effects of blockchain implementation on short- and long-term performance. It adds to the interdisciplinary research of information systems (IS) and operations management (OM).